Senior Generative AI Engineer

Cognizant; Toronto; Hybrid; CAD 74,000 - 118,000; Full time

Benefits offered by this job

Hybrid work options

Benefits package

Job summary

Cognizant in Canada is seeking a Senior Generative AI Engineer to design, build and operationalize AI-enabled engineering solutions that improve software quality and delivery.

You will develop reusable harnesses, automation workflows and conversational-to-production capabilities, collaborating with engineering, architecture, delivery and business teams on greenfield and modernization initiatives across regulated environments.

Qualifications

• 7+ years of professional experience in software engineering or AI engineering.
• Hands-on experience with commercial generative AI technologies (Claude, GitHub Copilot, OpenAI GPT).
• Experience building and hardening AI-assisted engineering harnesses, reusable templates or frameworks.
• Experience delivering conversational-to-production workflows across requirements, design, development, testing, deployment and support.
• Experience automating software testing and solution-delivery processes.
• Ability to create clear solution-design and technical-design documentation.
• Experience with legacy-system modernization, regulatory or highly governed programs.
• Experience contributing to greenfield development or SaaS-conversion initiatives.
• Strong understanding of AI concepts and their practical application in enterprise environments.
• Strong technical communication and stakeholder collaboration skills.

Responsibilities

• Build and harden AI-assisted engineering harnesses using Windsurf and Claude Code.
• Design and deliver conversational-to-production workflows from requirements to production support.
• Automate software testing and delivery processes to improve quality and efficiency.
• Develop reusable harness skills, templates and frameworks for repeatable AI delivery.
• Create solution-design and technical-design documentation to guide implementation and governance.
• Apply commercial generative AI technologies to address business and engineering challenges.
• Support legacy-system modernization, brownfield or regulated programs.
• Contribute to greenfield development and SaaS-conversion initiatives.
• Develop AI evaluation, testing and QA approaches for reliability.
• Collaborate with stakeholders to translate tech and business requirements into secure, scalable solutions.

Skills

Generative AI

AI engineering

Automation

Technical communication

Stakeholder collaboration

Software testing

Solution design

Tools

Windsurf

Claude Code

Claude

GitHub Copilot

OpenAI GPT models

Job description

About the role

As a Senior Generative AI Engineer, you will make an impact by designing, building and operationalizing AI-enabled engineering solutions. You will develop reusable harnesses, automation workflows and conversational-to-production capabilities that improve software quality and delivery.

You will be a valued member of the technology team and work collaboratively with engineering, architecture, delivery and business stakeholders across greenfield development, brownfield modernization, legacy-system transformation, regulatory and SaaS-conversion initiatives.

In this role, you will:

• Build and harden AI-assisted engineering harnesses using tools such as Windsurf and Claude Code.
• Design and deliver conversational-to-production workflows, from requirements and technical design through development, testing, deployment and production support.
• Automate software testing and solution-delivery processes to improve quality, consistency and efficiency.
• Develop reusable harness skills, templates and frameworks that enable repeatable AI-assisted delivery.
• Create solution-design and technical-design documentation to guide implementation, governance and maintenance.
• Apply commercial generative AI technologies, including Claude, GitHub Copilot and OpenAI GPT models, to address business and engineering challenges.
• Support legacy-system modernization, brownfield initiatives and highly governed regulatory programs.
• Contribute to greenfield development and SaaS-conversion programs.
• Develop AI evaluation, regression-testing and quality-assurance approaches to improve solution reliability.
• Collaborate with stakeholders to translate technical and business requirements into secure, scalable and production-ready solutions.

Work model

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring four days a week in a client or Cognizant office in Toronto, Ontario, or Vancouver, British Columbia.

Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured, we will always be clear about role expectations.

What you need to have to be considered

• 7+ years of professional experience in software engineering, AI engineering, application development or a related technology discipline.
• Hands-on experience with commercial generative AI technologies, including Claude, GitHub Copilot, OpenAI GPT models or comparable platforms.
• Experience building and hardening AI-assisted engineering harnesses, reusable frameworks or templates.
• Experience designing and delivering conversational-to-production workflows across requirements, technical design, development, testing, validation, deployment and production support.
• Experience automating software testing and solution-delivery processes.
• Ability to create clear solution-design and technical-design documentation.
• Experience supporting legacy-system modernization, brownfield, regulatory or highly governed technology programs.
• Experience contributing to greenfield development, enterprise modernization or SaaS-conversion initiatives.
• Strong understanding of artificial intelligence concepts and their practical application in commercial environments.
• Strong technical communication, documentation and stakeholder-collaboration skills.

These will help you stand out

• Experience developing AI evaluation, regression-testing or quality-assurance harnesses.
• Familiarity with prompt engineering, model evaluation, guardrails and responsible AI practices.
• Experience integrating AI capabilities into enterprise applications and engineering workflows.
• Experience with Java, cloud platforms or enterprise software modernization.
• Experience creating reusable AI skills or templates adopted by multiple engineering teams.
• Experience establishing engineering standards or mentoring engineers.
• Experience delivering AI-enabled solutions in highly regulated enterprise or consulting environments.

Compensation

The annual salary range for this position is $74,250 CAD to $117,500 CAD, plus applicable benefits and other eligible compensation.

The salary offered will depend on factors including experience, skills, qualifications, location, internal equity and business requirements. Cognizant will consider qualified candidates applying in Ontario and British Columbia.